Evidence map›Paper›PMID 32221338›Full record

ArticleScientific reports2020

Characterisation of the dynamic nature of lipids throughout the lifespan of genetically identical female and male Daphnia magna.

Julia K Constantinou, Andrew D Southam, Jouni Kvist, Martin R Jones, Mark R Viant, Leda Mirbahai

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julia K ConstantinouSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK. JKC335@student.bham.ac.uk.
Andrew D SouthamSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Jouni KvistResearch Program for Molecular Neurology, University of Helsinki, Haartmaninkatu 8, Helsinki, 00014, Finland.ORCID http://orcid.org/0000-0002-4089-8877
Martin R JonesSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Mark R ViantSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Leda MirbahaiWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK. Leda.Mirbahai@warwick.ac.uk.

Funding

Medical Research Council MR/M009157/1
6 · The paper itself

Abstract

Lipids play a significant role in regulation of health and disease. To enhance our understanding of the role of lipids in regulation of lifespan and healthspan additional studies are required. Here, UHPLC-MS/MS lipidomics was used to measure dynamic changes in lipid composition as a function of age and gender in genetically identical male and female Daphnia magna with different average lifespans. We demonstrate statistically significant age-related changes in triglycerides (TG), diglycerides (DG), phosphatidylcholine, phosphatidylethanolamine, ceramide and sphingomyelin lipid groups, for example, in males, 17.04% of TG lipid species decline with age whilst 37.86% increase in relative intensity with age. In females, 23.16% decrease and 25.31% increase in relative intensity with age. Most interestingly, the rate and direction of change can differ between genetically identical female and male Daphnia magna, which could be the cause and/or the consequence of the different average lifespans between the two genetically identical genders. This study provides a benchmark dataset to understand how lipids alter as a function of age in genetically identical female and male species with different average lifespan and ageing rate.

Indexed as

AgingAnimalsDaphniaDiglyceridesFemaleLipid MetabolismLongevityMalePhosphatidylcholinesSphingomyelinsTriglyceridesDiglyceridesPhosphatidylcholinesSphingomyelinsTriglycerides

Identifiers

PMID32221338
PMCPMC7101400

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.